High‐resolution time‐resolved imaging of in vitro Arabidopsis rosette growth
Although quantitative characterization of growth phenotypes is of key importance for the understanding of essential networks driving plant growth, the majority of growth‐related genes are still being identified based on qualitative visual observations and/or single‐endpoint quantitative measurements...
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| Veröffentlicht in: | The Plant journal : for cell and molecular biology 2014-10, Vol.80 (1), p.172-184 |
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| creator | Dhondt, Stijn Gonzalez, Nathalie Blomme, Jonas De Milde, Liesbeth Van Daele, Twiggy Van Akoleyen, Dirk Storme, Veronique Coppens, Frederik T.S. Beemster, Gerrit Inzé, Dirk |
| description | Although quantitative characterization of growth phenotypes is of key importance for the understanding of essential networks driving plant growth, the majority of growth‐related genes are still being identified based on qualitative visual observations and/or single‐endpoint quantitative measurements. We developed an in vitro growth imaging system (IGIS) to perform time‐resolved analysis of rosette growth. In this system, Arabidopsis plants are grown in Petri dishes mounted on a rotating disk, and images of each plate are taken on an hourly basis. Automated image analysis was developed in order to obtain several growth‐related parameters, such as projected rosette area, rosette relative growth rate, compactness and stockiness, over time. To illustrate the use of the platform and the resulting data, we present the results for the growth response of Col–0 plants subjected to three mild stress conditions. Although the reduction in rosette area was relatively similar at 19 days after stratification, the time‐lapse analysis demonstrated that plants react differently to salt, osmotic and oxidative stress. The rosette area was altered at various time points during development, and leaf movement and shape parameters were also affected differently. We also used the IGIS to analyze in detail the growth behavior of mutants with enhanced leaf size. Analysis of several growth‐related parameters over time in these mutants revealed several specificities in growth behavior, underlining the high complexity of leaf growth coordination. These results demonstrate that time‐resolved imaging of in vitro rosette growth generates a better understanding of growth phenotypes than endpoint measurements. |
| doi_str_mv | 10.1111/tpj.12610 |
| format | Article |
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Beemster, Gerrit ; Inzé, Dirk</creator><creatorcontrib>Dhondt, Stijn ; Gonzalez, Nathalie ; Blomme, Jonas ; De Milde, Liesbeth ; Van Daele, Twiggy ; Van Akoleyen, Dirk ; Storme, Veronique ; Coppens, Frederik ; T.S. Beemster, Gerrit ; Inzé, Dirk</creatorcontrib><description>Although quantitative characterization of growth phenotypes is of key importance for the understanding of essential networks driving plant growth, the majority of growth‐related genes are still being identified based on qualitative visual observations and/or single‐endpoint quantitative measurements. We developed an in vitro growth imaging system (IGIS) to perform time‐resolved analysis of rosette growth. In this system, Arabidopsis plants are grown in Petri dishes mounted on a rotating disk, and images of each plate are taken on an hourly basis. Automated image analysis was developed in order to obtain several growth‐related parameters, such as projected rosette area, rosette relative growth rate, compactness and stockiness, over time. To illustrate the use of the platform and the resulting data, we present the results for the growth response of Col–0 plants subjected to three mild stress conditions. Although the reduction in rosette area was relatively similar at 19 days after stratification, the time‐lapse analysis demonstrated that plants react differently to salt, osmotic and oxidative stress. The rosette area was altered at various time points during development, and leaf movement and shape parameters were also affected differently. We also used the IGIS to analyze in detail the growth behavior of mutants with enhanced leaf size. Analysis of several growth‐related parameters over time in these mutants revealed several specificities in growth behavior, underlining the high complexity of leaf growth coordination. These results demonstrate that time‐resolved imaging of in vitro rosette growth generates a better understanding of growth phenotypes than endpoint measurements.</description><identifier>ISSN: 0960-7412</identifier><identifier>EISSN: 1365-313X</identifier><identifier>DOI: 10.1111/tpj.12610</identifier><identifier>PMID: 25041085</identifier><language>eng</language><publisher>England: Blackwell Scientific Publishers and BIOS Scientific Publishers in association with the Society for Experimental Biology</publisher><subject>Arabidopsis ; Arabidopsis - genetics ; Arabidopsis - growth & development ; Arabidopsis - radiation effects ; Arabidopsis thaliana ; genes ; Genotype ; Genotype & phenotype ; growth dynamics ; image analysis ; Image Processing, Computer-Assisted - instrumentation ; Image Processing, Computer-Assisted - methods ; imaging ; leaf movement ; leaves ; Life Sciences ; Light ; mutants ; Mutation ; oxidative stress ; Phenotype ; phenotyping platform ; Plant biology ; Plant growth ; Plant Leaves - genetics ; Plant Leaves - growth & development ; Plant Leaves - radiation effects ; Plants, Genetically Modified ; rosette ; Seedlings - genetics ; Seedlings - growth & development ; Seedlings - radiation effects ; technical advance ; Time Factors</subject><ispartof>The Plant journal : for cell and molecular biology, 2014-10, Vol.80 (1), p.172-184</ispartof><rights>2014 The Authors The Plant Journal © 2014 John Wiley & Sons Ltd</rights><rights>2014 The Authors The Plant Journal © 2014 John Wiley & Sons Ltd.</rights><rights>Copyright © 2014 John Wiley & Sons Ltd and the Society for Experimental Biology</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5820-500a55d03b76bbc7100f92bddc757afae861e59c70acc4060567d1e5141802b93</citedby><cites>FETCH-LOGICAL-c5820-500a55d03b76bbc7100f92bddc757afae861e59c70acc4060567d1e5141802b93</cites><orcidid>0000-0001-6565-5145 ; 0000-0002-3946-1758</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Ftpj.12610$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Ftpj.12610$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,1427,27903,27904,45553,45554,46387,46811</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25041085$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-01601536$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Dhondt, Stijn</creatorcontrib><creatorcontrib>Gonzalez, Nathalie</creatorcontrib><creatorcontrib>Blomme, Jonas</creatorcontrib><creatorcontrib>De Milde, Liesbeth</creatorcontrib><creatorcontrib>Van Daele, Twiggy</creatorcontrib><creatorcontrib>Van Akoleyen, Dirk</creatorcontrib><creatorcontrib>Storme, Veronique</creatorcontrib><creatorcontrib>Coppens, Frederik</creatorcontrib><creatorcontrib>T.S. Beemster, Gerrit</creatorcontrib><creatorcontrib>Inzé, Dirk</creatorcontrib><title>High‐resolution time‐resolved imaging of in vitro Arabidopsis rosette growth</title><title>The Plant journal : for cell and molecular biology</title><addtitle>Plant J</addtitle><description>Although quantitative characterization of growth phenotypes is of key importance for the understanding of essential networks driving plant growth, the majority of growth‐related genes are still being identified based on qualitative visual observations and/or single‐endpoint quantitative measurements. We developed an in vitro growth imaging system (IGIS) to perform time‐resolved analysis of rosette growth. In this system, Arabidopsis plants are grown in Petri dishes mounted on a rotating disk, and images of each plate are taken on an hourly basis. Automated image analysis was developed in order to obtain several growth‐related parameters, such as projected rosette area, rosette relative growth rate, compactness and stockiness, over time. To illustrate the use of the platform and the resulting data, we present the results for the growth response of Col–0 plants subjected to three mild stress conditions. Although the reduction in rosette area was relatively similar at 19 days after stratification, the time‐lapse analysis demonstrated that plants react differently to salt, osmotic and oxidative stress. The rosette area was altered at various time points during development, and leaf movement and shape parameters were also affected differently. We also used the IGIS to analyze in detail the growth behavior of mutants with enhanced leaf size. Analysis of several growth‐related parameters over time in these mutants revealed several specificities in growth behavior, underlining the high complexity of leaf growth coordination. These results demonstrate that time‐resolved imaging of in vitro rosette growth generates a better understanding of growth phenotypes than endpoint measurements.</description><subject>Arabidopsis</subject><subject>Arabidopsis - genetics</subject><subject>Arabidopsis - growth & development</subject><subject>Arabidopsis - radiation effects</subject><subject>Arabidopsis thaliana</subject><subject>genes</subject><subject>Genotype</subject><subject>Genotype & phenotype</subject><subject>growth dynamics</subject><subject>image analysis</subject><subject>Image Processing, Computer-Assisted - instrumentation</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>imaging</subject><subject>leaf movement</subject><subject>leaves</subject><subject>Life Sciences</subject><subject>Light</subject><subject>mutants</subject><subject>Mutation</subject><subject>oxidative stress</subject><subject>Phenotype</subject><subject>phenotyping platform</subject><subject>Plant biology</subject><subject>Plant growth</subject><subject>Plant Leaves - genetics</subject><subject>Plant Leaves - growth & development</subject><subject>Plant Leaves - radiation effects</subject><subject>Plants, Genetically Modified</subject><subject>rosette</subject><subject>Seedlings - genetics</subject><subject>Seedlings - growth & development</subject><subject>Seedlings - radiation effects</subject><subject>technical advance</subject><subject>Time Factors</subject><issn>0960-7412</issn><issn>1365-313X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kc1u1DAUhS0EotPCgheASGzKIu29_k2WowoY0EhUopXYWU7iZDzKxIOdTNUdj8Az8iR4mE6RkLgbS0efz71Hh5BXCBeY5nLcri-QSoQnZIZMipwh-_aUzKCUkCuO9IScxrgGQMUkf05OqACOUIgZuV64bvXrx89go--n0fkhG93GHpWdbTK3MZ0busy3mRuynRuDz-bBVK7x2-hiFny042izLvi7cfWCPGtNH-3Lh_eM3H54f3O1yJdfPn66mi_zWhQUcgFghGiAVUpWVa0QoC1p1TS1Esq0xhYSrShrBaauOUgQUjVJQY4F0KpkZ-TdwXdler0N6chwr71xejFf6r0GKAEFkztM7PmB3Qb_fbJx1BsXa9v3ZrB-ihqF5BLKkvOEvv0HXfspDCnJnmJc8ULwv8vrFD4G2z5egKD3lehUif5TSWJfPzhO1cY2j-SxgwRcHoA719v7_zvpm-vPR8s3hx-t8dp0wUV9-5WmtABAQVLGfgNvPZ6g</recordid><startdate>201410</startdate><enddate>201410</enddate><creator>Dhondt, Stijn</creator><creator>Gonzalez, Nathalie</creator><creator>Blomme, Jonas</creator><creator>De Milde, Liesbeth</creator><creator>Van Daele, Twiggy</creator><creator>Van Akoleyen, Dirk</creator><creator>Storme, Veronique</creator><creator>Coppens, Frederik</creator><creator>T.S. Beemster, Gerrit</creator><creator>Inzé, Dirk</creator><general>Blackwell Scientific Publishers and BIOS Scientific Publishers in association with the Society for Experimental Biology</general><general>Blackwell Publishing Ltd</general><general>Wiley</general><scope>FBQ</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7QP</scope><scope>7QR</scope><scope>7TM</scope><scope>8FD</scope><scope>FR3</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0001-6565-5145</orcidid><orcidid>https://orcid.org/0000-0002-3946-1758</orcidid></search><sort><creationdate>201410</creationdate><title>High‐resolution time‐resolved imaging of in vitro Arabidopsis rosette growth</title><author>Dhondt, Stijn ; Gonzalez, Nathalie ; Blomme, Jonas ; De Milde, Liesbeth ; Van Daele, Twiggy ; Van Akoleyen, Dirk ; Storme, Veronique ; Coppens, Frederik ; T.S. 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Beemster, Gerrit</au><au>Inzé, Dirk</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>High‐resolution time‐resolved imaging of in vitro Arabidopsis rosette growth</atitle><jtitle>The Plant journal : for cell and molecular biology</jtitle><addtitle>Plant J</addtitle><date>2014-10</date><risdate>2014</risdate><volume>80</volume><issue>1</issue><spage>172</spage><epage>184</epage><pages>172-184</pages><issn>0960-7412</issn><eissn>1365-313X</eissn><abstract>Although quantitative characterization of growth phenotypes is of key importance for the understanding of essential networks driving plant growth, the majority of growth‐related genes are still being identified based on qualitative visual observations and/or single‐endpoint quantitative measurements. We developed an in vitro growth imaging system (IGIS) to perform time‐resolved analysis of rosette growth. In this system, Arabidopsis plants are grown in Petri dishes mounted on a rotating disk, and images of each plate are taken on an hourly basis. Automated image analysis was developed in order to obtain several growth‐related parameters, such as projected rosette area, rosette relative growth rate, compactness and stockiness, over time. To illustrate the use of the platform and the resulting data, we present the results for the growth response of Col–0 plants subjected to three mild stress conditions. Although the reduction in rosette area was relatively similar at 19 days after stratification, the time‐lapse analysis demonstrated that plants react differently to salt, osmotic and oxidative stress. The rosette area was altered at various time points during development, and leaf movement and shape parameters were also affected differently. We also used the IGIS to analyze in detail the growth behavior of mutants with enhanced leaf size. Analysis of several growth‐related parameters over time in these mutants revealed several specificities in growth behavior, underlining the high complexity of leaf growth coordination. These results demonstrate that time‐resolved imaging of in vitro rosette growth generates a better understanding of growth phenotypes than endpoint measurements.</abstract><cop>England</cop><pub>Blackwell Scientific Publishers and BIOS Scientific Publishers in association with the Society for Experimental Biology</pub><pmid>25041085</pmid><doi>10.1111/tpj.12610</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0001-6565-5145</orcidid><orcidid>https://orcid.org/0000-0002-3946-1758</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Arabidopsis Arabidopsis - genetics Arabidopsis - growth & development Arabidopsis - radiation effects Arabidopsis thaliana genes Genotype Genotype & phenotype growth dynamics image analysis Image Processing, Computer-Assisted - instrumentation Image Processing, Computer-Assisted - methods imaging leaf movement leaves Life Sciences Light mutants Mutation oxidative stress Phenotype phenotyping platform Plant biology Plant growth Plant Leaves - genetics Plant Leaves - growth & development Plant Leaves - radiation effects Plants, Genetically Modified rosette Seedlings - genetics Seedlings - growth & development Seedlings - radiation effects technical advance Time Factors |
| title | High‐resolution time‐resolved imaging of in vitro Arabidopsis rosette growth |
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